*4.5. Output*

After obtaining the rich, robust feature representations, the output is given by using one full connection layer between the output nodes and the fusion features, which can be defined as:

$$Output = \mathcal{W} \cdot FISION\_{features} + B\tag{24}$$

where *W* is the weight matrix and *B* is the bias. This paper mainly focuses on power consumption forecasting of one duration unit (hourly, daily, weekly, and monthly). It is easy to extend the forecast of multi-duration units by setting the nodes of output; we will discuss this later.
